Conference Proceedings :

A. MANUKYAN, M.A.. OLIVARES-MENDEZ, H. VOOS, M. GEIST, "Real time degradation identification of UAV using machine learning techniques". In International Conference on Unmanned Aircraft Systems (ICUAS'17), 2017.

Regular Papers :

B. PIOT, M. GEIST, O. PIETQUIN, "Bridging the Gap between Imitation Learning and Inverse Reinforcement Learning". In IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2016.

Conference Proceedings :

B. PIOT, M. GEIST, O. PIETQUIN, "Batch Policy Iteration Algorithms for Continuous Domains". In European Workshop on Reinforcement Learning (EWRL), 2016.

J. PÉROLAT, B. PIOT, M. GEIST, B. SCHERRER, O. PIETQUIN, "Softened Approximate Policy Iteration for Markov Games". In International Conference on Machine Learning (ICML), 2016.

L. EL ASRI, B. PIOT, M. GEIST, R. LAROCHE, O. PIETQUIN, "Score-based Inverse Reinforcement Learning". In International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), 2016.

Thesis :

M. GEIST, "Contrôle optimal et apprentissage automatique, applications aux interactions homme-machine", Habilitation à Diriger des Recherches, PhD Thesis, Université de Lille 1, 2016.

Miscellaneous :

M. GEIST, B. PIOT, O. PIETQUIN, "Should one minimize the expected Bellman residual or maximize the mean value?", arxiv, 2016.

B. PIOT, M. GEIST, O. PIETQUIN, "Difference of Convex Functions Programming Applied to Control with Expert Data", arxiv, 2016.